{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제10_세대별 성평등\social sciences\data\analysis_2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 Nov 2024, 03:07:03

{com}. reg gender_inequality age income education occupation spouse child appearance satisfaction i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     5,480
{txt}{hline 13}{c +}{hline 34}   F(9, 5470)      = {res}    17.90
{txt}       Model {c |} {res} 277.375561         9  30.8195067   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 9417.82444     5,470  1.72172293   {txt}R-squared       ={res}    0.0286
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0270
{txt}       Total {c |} {res}     9695.2     5,479  1.76951999   {txt}Root MSE        =   {res} 1.3121

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0854527{col 26}{space 2} .0169941{col 37}{space 1}   -5.03{col 46}{space 3}0.000{col 54}{space 4}-.1187679{col 67}{space 3}-.0521374
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0308827{col 26}{space 2} .0179488{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.0660695{col 67}{space 3} .0043041
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.1066591{col 26}{space 2} .0327756{col 37}{space 1}   -3.25{col 46}{space 3}0.001{col 54}{space 4}-.1709123{col 67}{space 3}-.0424058
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0525757{col 26}{space 2} .0478142{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-.1463106{col 67}{space 3} .0411592
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.1992965{col 26}{space 2} .0448519{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.2872241{col 67}{space 3}-.1113689
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.2707838{col 26}{space 2}  .036468{col 37}{space 1}   -7.43{col 46}{space 3}0.000{col 54}{space 4}-.3422756{col 67}{space 3} -.199292
{txt}{space 2}appearance {c |}{col 14}{res}{space 2} .0026032{col 26}{space 2} .0540288{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.1033148{col 67}{space 3} .1085212
{txt}satisfaction {c |}{col 14}{res}{space 2} .0050978{col 26}{space 2} .0094825{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.0134916{col 67}{space 3} .0236873
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2}  .275964{col 26}{space 2} .0744212{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .1300689{col 67}{space 3} .4218591
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.226898{col 26}{space 2}  .101429{col 37}{space 1}   51.53{col 46}{space 3}0.000{col 54}{space 4} 5.028057{col 67}{space 3} 5.425739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality age income education occupation spouse child i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     5,480
{txt}{hline 13}{c +}{hline 34}   F(7, 5472)      = {res}    22.98
{txt}       Model {c |} {res} 276.877456         7  39.5539223   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 9418.32254     5,472  1.72118468   {txt}R-squared       ={res}    0.0286
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0273
{txt}       Total {c |} {res}     9695.2     5,479  1.76951999   {txt}Root MSE        =   {res} 1.3119

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0859631{col 26}{space 2} .0169342{col 37}{space 1}   -5.08{col 46}{space 3}0.000{col 54}{space 4} -.119161{col 67}{space 3}-.0527653
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0309897{col 26}{space 2} .0179437{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.0661665{col 67}{space 3} .0041871
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.1053275{col 26}{space 2} .0326691{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4} -.169372{col 67}{space 3}-.0412831
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0505254{col 26}{space 2} .0476521{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.1439424{col 67}{space 3} .0428917
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.1971095{col 26}{space 2} .0445735{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.2844913{col 67}{space 3}-.1097277
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.2718185{col 26}{space 2} .0364115{col 37}{space 1}   -7.47{col 46}{space 3}0.000{col 54}{space 4}-.3431996{col 67}{space 3}-.2004374
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .2721177{col 26}{space 2} .0739009{col 37}{space 1}    3.68{col 46}{space 3}0.000{col 54}{space 4} .1272425{col 67}{space 3}  .416993
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.257239{col 26}{space 2} .0828939{col 37}{space 1}   63.42{col 46}{space 3}0.000{col 54}{space 4} 5.094734{col 67}{space 3} 5.419744
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality age i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,302
{txt}{hline 13}{c +}{hline 34}   F(2, 7299)      = {res}    35.90
{txt}       Model {c |} {res} 124.165313         2  62.0826566   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 12621.3183     7,299  1.72918458   {txt}R-squared       ={res}    0.0097
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0095
{txt}       Total {c |} {res} 12745.4836     7,301  1.74571751   {txt}Root MSE        =   {res}  1.315

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0859549{col 26}{space 2} .0110331{col 37}{space 1}   -7.79{col 46}{space 3}0.000{col 54}{space 4}-.1075831{col 67}{space 3}-.0643268
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .1128026{col 26}{space 2} .0308478{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4}  .052332{col 67}{space 3} .1732733
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.849286{col 26}{space 2} .0431546{col 37}{space 1}  112.37{col 46}{space 3}0.000{col 54}{space 4} 4.764691{col 67}{space 3} 4.933882
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
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. reg gender_inequality age income education occupation spouse child appearance satisfaction i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,107
{txt}{hline 13}{c +}{hline 34}   F(9, 4097)      = {res}    27.93
{txt}       Model {c |} {res}  423.44616         9  47.0495734   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 6902.55384     4,097  1.68478248   {txt}R-squared       ={res}    0.0578
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0557
{txt}       Total {c |} {res}       7326     4,106  1.78421822   {txt}Root MSE        =   {res}  1.298

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} .0905711{col 26}{space 2} .0193678{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0525996{col 67}{space 3} .1285426
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0115211{col 26}{space 2} .0214385{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-.0535521{col 67}{space 3} .0305099
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.1271413{col 26}{space 2} .0388853{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.2033776{col 67}{space 3} -.050905
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.1145917{col 26}{space 2} .0549062{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.2222377{col 67}{space 3}-.0069457
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.0239433{col 26}{space 2} .0441567{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.1105144{col 67}{space 3} .0626278
{txt}{space 7}child {c |}{col 14}{res}{space 2} -.300728{col 26}{space 2} .0411914{col 37}{space 1}   -7.30{col 46}{space 3}0.000{col 54}{space 4}-.3814855{col 67}{space 3}-.2199706
{txt}{space 2}appearance {c |}{col 14}{res}{space 2}-.2600137{col 26}{space 2} .0584991{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.3747037{col 67}{space 3}-.1453236
{txt}satisfaction {c |}{col 14}{res}{space 2}  .060966{col 26}{space 2} .0109999{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} .0394003{col 67}{space 3} .0825317
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .3958821{col 26}{space 2} .0866399{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .2260208{col 67}{space 3} .5657433
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.427791{col 26}{space 2} .1114799{col 37}{space 1}   30.75{col 46}{space 3}0.000{col 54}{space 4}  3.20923{col 67}{space 3} 3.646352
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality age income education occupation spouse child i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,107
{txt}{hline 13}{c +}{hline 34}   F(7, 4099)      = {res}    27.23
{txt}       Model {c |} {res} 325.534793         7  46.5049704   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 7000.46521     4,099  1.70784709   {txt}R-squared       ={res}    0.0444
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0428
{txt}       Total {c |} {res}       7326     4,106  1.78421822   {txt}Root MSE        =   {res} 1.3068

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}  .097886{col 26}{space 2} .0194292{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .0597942{col 67}{space 3} .1359779
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0130079{col 26}{space 2} .0215834{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4} -.055323{col 67}{space 3} .0293072
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.1173338{col 26}{space 2} .0390215{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.1938371{col 67}{space 3}-.0408305
{txt}{space 2}occupation {c |}{col 14}{res}{space 2} -.088201{col 26}{space 2} .0550935{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.1962141{col 67}{space 3} .0198121
{txt}{space 6}spouse {c |}{col 14}{res}{space 2} .0010959{col 26}{space 2} .0442796{col 37}{space 1}    0.02{col 46}{space 3}0.980{col 54}{space 4}-.0857161{col 67}{space 3} .0879079
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.3065092{col 26}{space 2} .0414518{col 37}{space 1}   -7.39{col 46}{space 3}0.000{col 54}{space 4}-.3877772{col 67}{space 3}-.2252412
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .3877771{col 26}{space 2} .0866602{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .2178761{col 67}{space 3}  .557678
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.681927{col 26}{space 2} .0924233{col 37}{space 1}   39.84{col 46}{space 3}0.000{col 54}{space 4} 3.500727{col 67}{space 3} 3.863127
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality age i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,125
{txt}{hline 13}{c +}{hline 34}   F(2, 8122)      = {res}   142.74
{txt}       Model {c |} {res} 488.583092         2  244.291546   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 13900.7013     8,122  1.71148748   {txt}R-squared       ={res}    0.0340
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0337
{txt}       Total {c |} {res} 14389.2844     8,124  1.77120685   {txt}Root MSE        =   {res} 1.3082

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} .1656122{col 26}{space 2}  .010446{col 37}{space 1}   15.85{col 46}{space 3}0.000{col 54}{space 4} .1451355{col 67}{space 3}  .186089
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .1455172{col 26}{space 2} .0290798{col 37}{space 1}    5.00{col 46}{space 3}0.000{col 54}{space 4} .0885134{col 67}{space 3}  .202521
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 3.254401{col 26}{space 2} .0412807{col 37}{space 1}   78.84{col 46}{space 3}0.000{col 54}{space 4}  3.17348{col 67}{space 3} 3.335321
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
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. reg gender_inequality_prospect age income education occupation spouse child appearance satisfaction i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     5,480
{txt}{hline 13}{c +}{hline 34}   F(9, 5470)      = {res}    12.17
{txt}       Model {c |} {res} 165.578962         9  18.3976625   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8266.94586     5,470  1.51132465   {txt}R-squared       ={res}    0.0196
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0180
{txt}       Total {c |} {res} 8432.52482     5,479  1.53906275   {txt}Root MSE        =   {res} 1.2294

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0890926{col 26}{space 2} .0159219{col 37}{space 1}   -5.60{col 46}{space 3}0.000{col 54}{space 4} -.120306{col 67}{space 3}-.0578793
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0358988{col 26}{space 2} .0168164{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0688656{col 67}{space 3} -.002932
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.0729341{col 26}{space 2} .0307078{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-.1331335{col 67}{space 3}-.0127346
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0276438{col 26}{space 2} .0447976{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.1154649{col 67}{space 3} .0601772
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.1283845{col 26}{space 2} .0420222{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.2107647{col 67}{space 3}-.0460044
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.1758706{col 26}{space 2} .0341672{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-.2428518{col 67}{space 3}-.1088893
{txt}{space 2}appearance {c |}{col 14}{res}{space 2} .0681536{col 26}{space 2} .0506201{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0310818{col 67}{space 3} .1673891
{txt}satisfaction {c |}{col 14}{res}{space 2} .0117292{col 26}{space 2} .0088842{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0056874{col 67}{space 3} .0291458
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .0973781{col 26}{space 2} .0697259{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.0393123{col 67}{space 3} .2340685
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  5.72165{col 26}{space 2} .0950297{col 37}{space 1}   60.21{col 46}{space 3}0.000{col 54}{space 4} 5.535354{col 67}{space 3} 5.907946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality_prospect age income education occupation spouse child  i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     5,480
{txt}{hline 13}{c +}{hline 34}   F(7, 5472)      = {res}    15.19
{txt}       Model {c |} {res} 160.784487         7  22.9692125   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8271.74033     5,472  1.51164845   {txt}R-squared       ={res}    0.0191
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0178
{txt}       Total {c |} {res} 8432.52482     5,479  1.53906275   {txt}Root MSE        =   {res} 1.2295

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0914145{col 26}{space 2}   .01587{col 37}{space 1}   -5.76{col 46}{space 3}0.000{col 54}{space 4}-.1225261{col 67}{space 3} -.060303
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0358995{col 26}{space 2}  .016816{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0688656{col 67}{space 3}-.0029334
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.0691348{col 26}{space 2}  .030616{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-.1291544{col 67}{space 3}-.0091152
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0236285{col 26}{space 2} .0446574{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4}-.1111748{col 67}{space 3} .0639178
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.1267247{col 26}{space 2} .0417723{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-.2086151{col 67}{space 3}-.0448344
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.1782032{col 26}{space 2} .0341233{col 37}{space 1}   -5.22{col 46}{space 3}0.000{col 54}{space 4}-.2450983{col 67}{space 3} -.111308
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .0830761{col 26}{space 2} .0692567{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0526945{col 67}{space 3} .2188467
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.807057{col 26}{space 2} .0776844{col 37}{space 1}   74.75{col 46}{space 3}0.000{col 54}{space 4} 5.654765{col 67}{space 3}  5.95935
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality_prospect age i.year if gender ==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,302
{txt}{hline 13}{c +}{hline 34}   F(2, 7299)      = {res}    34.45
{txt}       Model {c |} {res} 104.406565         2  52.2032823   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 11061.3739     7,299   1.5154643   {txt}R-squared       ={res}    0.0094
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0091
{txt}       Total {c |} {res} 11165.7805     7,301  1.52934947   {txt}Root MSE        =   {res}  1.231

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2}-.0850633{col 26}{space 2} .0103288{col 37}{space 1}   -8.24{col 46}{space 3}0.000{col 54}{space 4}-.1053108{col 67}{space 3}-.0648158
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} -.019894{col 26}{space 2} .0288787{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.0765045{col 67}{space 3} .0367165
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.485008{col 26}{space 2} .0403998{col 37}{space 1}  135.77{col 46}{space 3}0.000{col 54}{space 4} 5.405813{col 67}{space 3} 5.564203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. 
. 
. 
. 
. reg gender_inequality_prospect age income education occupation spouse child  i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,107
{txt}{hline 13}{c +}{hline 34}   F(7, 4099)      = {res}    17.20
{txt}       Model {c |} {res} 159.218501         7  22.7455002   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 5421.90543     4,099  1.32273858   {txt}R-squared       ={res}    0.0285
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0269
{txt}       Total {c |} {res} 5581.12393     4,106  1.35926058   {txt}Root MSE        =   {res} 1.1501

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} .0970178{col 26}{space 2} .0170989{col 37}{space 1}    5.67{col 46}{space 3}0.000{col 54}{space 4} .0634947{col 67}{space 3} .1305409
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0463932{col 26}{space 2} .0189947{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} -.083633{col 67}{space 3}-.0091533
{txt}{space 3}education {c |}{col 14}{res}{space 2} -.112313{col 26}{space 2} .0343413{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.1796405{col 67}{space 3}-.0449855
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0153654{col 26}{space 2} .0484856{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.1104235{col 67}{space 3} .0796927
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.0650412{col 26}{space 2} .0389687{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4} -.141441{col 67}{space 3} .0113586
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.1299917{col 26}{space 2} .0364801{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-.2015125{col 67}{space 3} -.058471
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .2432094{col 26}{space 2} .0762662{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} .0936863{col 67}{space 3} .3927325
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.501967{col 26}{space 2} .0813381{col 37}{space 1}   55.35{col 46}{space 3}0.000{col 54}{space 4}   4.3425{col 67}{space 3} 4.661434
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality_prospect age income education occupation spouse child  i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,107
{txt}{hline 13}{c +}{hline 34}   F(7, 4099)      = {res}    17.20
{txt}       Model {c |} {res} 159.218501         7  22.7455002   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 5421.90543     4,099  1.32273858   {txt}R-squared       ={res}    0.0285
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0269
{txt}       Total {c |} {res} 5581.12393     4,106  1.35926058   {txt}Root MSE        =   {res} 1.1501

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} .0970178{col 26}{space 2} .0170989{col 37}{space 1}    5.67{col 46}{space 3}0.000{col 54}{space 4} .0634947{col 67}{space 3} .1305409
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0463932{col 26}{space 2} .0189947{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} -.083633{col 67}{space 3}-.0091533
{txt}{space 3}education {c |}{col 14}{res}{space 2} -.112313{col 26}{space 2} .0343413{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.1796405{col 67}{space 3}-.0449855
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0153654{col 26}{space 2} .0484856{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.1104235{col 67}{space 3} .0796927
{txt}{space 6}spouse {c |}{col 14}{res}{space 2}-.0650412{col 26}{space 2} .0389687{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4} -.141441{col 67}{space 3} .0113586
{txt}{space 7}child {c |}{col 14}{res}{space 2}-.1299917{col 26}{space 2} .0364801{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-.2015125{col 67}{space 3} -.058471
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .2432094{col 26}{space 2} .0762662{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} .0936863{col 67}{space 3} .3927325
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.501967{col 26}{space 2} .0813381{col 37}{space 1}   55.35{col 46}{space 3}0.000{col 54}{space 4}   4.3425{col 67}{space 3} 4.661434
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. reg gender_inequality_prospect age i.year if gender ==0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,125
{txt}{hline 13}{c +}{hline 34}   F(2, 8122)      = {res}   135.58
{txt}       Model {c |} {res} 362.695068         2  181.347534   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 10863.8014     8,122  1.33757713   {txt}R-squared       ={res}    0.0323
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0321
{txt}       Total {c |} {res} 11226.4965     8,124  1.38189272   {txt}Root MSE        =   {res} 1.1565

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gender_ine~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} .1520492{col 26}{space 2} .0092347{col 37}{space 1}   16.47{col 46}{space 3}0.000{col 54}{space 4}  .133947{col 67}{space 3} .1701515
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2}-.0158657{col 26}{space 2} .0257077{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.0662594{col 67}{space 3} .0345279
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 4.136033{col 26}{space 2} .0364938{col 37}{space 1}  113.34{col 46}{space 3}0.000{col 54}{space 4} 4.064496{col 67}{space 3}  4.20757
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제10_세대별 성평등\social sciences\data\analysis_2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}30 Nov 2024, 03:07:45
{txt}{.-}
{smcl}
{txt}{sf}{ul off}